Cryptocurrency exchange Bitget has introduced GetAgent Playbook, a strategy workflow layer integrated into GetAgent and Bitget AI designed to expand AI-powered trading beyond conversational tools. The launch represents the first public implementation of Agent Harness, Bitget's framework for structuring AI decision-making, execution processes, and risk management into organized trading workflows. The development follows the company's earlier report that over 1 million users completed AI-assisted trades through platforms including GetAgent and GetClaw, generating over $1.2 billion in cumulative trading volume. Bitget is positioning the system as a shift from AI assistants focused on market analysis and basic actions toward workflow automation and strategy coordination. The cryptocurrency sector has largely concentrated on AI assistants for queries and simple trading tasks, while Bitget's approach emphasizes structured automation infrastructure.
Bitget Launches Workflow-Based AI Trading System
The new system maintains user control throughout the trading process. Users can explore available Playbooks, review their structure, adjust settings, subscribe to strategies, launch them, and monitor performance through user-authorized isolated sub-accounts. Bitget stated the platform emphasizes transparency by allowing users to examine strategy logic, market compatibility, and risk parameters before activation. Access to Playbook will initially be available for GetAgent Plus and Pro users.
"AI trading is evolving from Q&As into workflows and half the complexity of using AI in trading workflows is configuring the prompt," said Gracy Chen, CEO of Bitget in a written statement. "With GetAgent Playbook, users can simply pick and choose from a library of ready strategies to plug and play, turning trading ideas into something users can run, adapt and build on easily," she added.
The underlying technology is Agent Harness, which serves as the operational framework for GetAgent Playbook. The system coordinates different functions, including market analysis, execution decisions, and risk management procedures. The framework introduces controls designed to manage execution limits, position sizing, and irregular market conditions, while maintaining records of all actions for review and auditing purposes.
GetAgent Playbook Expands Bitget's AI Ecosystem
As part of Bitget's Universal Exchange strategy, GetAgent Playbook expands AI functionality from market interpretation toward automated strategy infrastructure. The company stated the development supports its broader vision of an Agent-Native Exchange, where intelligent systems become integrated into the way users interact with and access financial markets.
Since introducing GetAgent, GetClaw, and Agent Hub, Bitget has continued expanding its AI ecosystem across traders, developers, and autonomous systems. The company stated that Agent Hub currently includes nine modules and 58 tools covering areas such as Spot trading, Futures, Margin, Copy Trading, Earn products, P2P trading, fund management, and execution-related services.
FAQ
What did Bitget launch with GetAgent Playbook?
Bitget introduced GetAgent Playbook, a strategy workflow layer integrated into GetAgent and Bitget AI that structures AI decision-making, execution processes, and risk management into organized trading workflows. The system represents the first public implementation of Agent Harness, Bitget's framework for workflow automation.
Who can access GetAgent Playbook?
Access to Playbook will initially be available for GetAgent Plus and Pro users. Users can explore available Playbooks, review their structure, adjust settings, subscribe to strategies, launch them, and monitor performance through user-authorized isolated sub-accounts.
How many users have completed AI-assisted trades on Bitget platforms?
Earlier this year, Bitget reported that more than 1 million users had completed AI-assisted trades through platforms including GetAgent and GetClaw, generating over $1.2 billion in cumulative trading volume.
